Nnamdi Azikwe University
Numerical
Categorical
Humans process visuals 60,000x faster than text
Visuals simplify complex data
Helps identify trends, outliers, and patterns
Supports data-driven decisions
COVID-19 dashboards helped governments track and respond to infection spikes and vaccinations.
Problem: Data is abundant, but insights are scarce.
Solution: Visualization bridges the gap between raw data and strategic action.
Outcome: Simplifies storytelling and supports real-time decisions.
Free and open-source statistical language
Used in academia and business
Integrates data wrangling, analysis, and visualization
Key Visualization Packages:
ggplot2
plotly
shiny
| Chart Type | Best For |
|---|---|
| Line Chart | Trends over time |
| Bar Chart | Comparing categories |
| Scatter Plot | Correlations, relationships |
| Maps | Geospatial data |
| Dashboard | Monitoring KPIs in real-time |
Tip: Choose simplicity and clarity over complexity.
Dataset: World Bank (Literacy vs Internet Access)
Visualization: Scatter plot showing socio-economic development.
Insight: Nigeria lags behind Kenya and Egypt in internet penetration despite comparable literacy rates.
R-Ladies theme for Quarto Presentations. Code available on GitHub.